Lorenzo Valerio PhD
Lorenzo Valerio PhD
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Lorenzo Valerio
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School on Deep Learning for Autonomous Systems and Smart Cities
Anomaly Detection through Unsupervised Federated Learning
Dynamic hard pruning of neural networks at the edge of the internet
Federated feature selection for cyber-physical systems of systems
Federated Semi-Supervised Classification of Multimedia Flows for 3D Networks
Centralised vs decentralised anomaly detection: when local and imbalanced data are beneficial
Optimising cost vs accuracy of decentralised analytics in Fog computing environments
Apprendimento di Reti Neurali su Dispositivi a Risorse Limitate
Apprendimento distribuito e federato basato su Hypothesis Transfer Learning
Efficient Distributed Learning in 5G Fog Computing Environments
Hypothesis Transfer Learning for Distributed Knowledge Extraction by Intelligent Machines
Learning Effective Neural Networks on Resource-Constrained Devices
Energy efficient distributed analytics at the edge of the network for IoT environments
A communication efficient distributed learning framework for smart environments
Optimal trade-off between accuracy and network cost of distributed learning in Mobile Edge Computing: An analytical approach
Accuracy vs. traffic trade-off of Learning IoT Data Patterns at the Edge with Hypothesis Transfer Learning
Design and evaluation of a cognitive approach for disseminating semantic knowledge and content in opportunistic networks
Here&now: data-centric local social interactions through opportunistic networks
Hypothesis transfer learning for efficient data computing in smart cities environments
Special Section on Opportunistic Communication and Computation
Stratégie d'apprentissage pour le multicast LTE avec communications D2D
A joint multicast/D2D learning-based approach to LTE traffic offloading
Cellular traffic offloading via Opportunistic Networking with Reinforcement Learning
Offloading cellular traffic with opportunistic networks: a feasibility study
Scalable data dissemination in opportunistic networks through cognitive methods
Weak social ties improve content delivery in behavior-aware opportunistic networks
Adaptive data offloading in opportunistic networks through an actor-critic learning method
A cognitive-based solution for semantic knowledge and content dissemination in opportunistic networks
A local algorithm for detecting community structures in dynamic networks
Application of a cognitive-inspired algorithm for detecting communities in mobility networks
Autonomic Cognitive-based Data Dissemination in Opportunistic Networks
Stochastic mobility models in space and time
A unified learning space for a network of mobile neurons
Kinetic Morphogenesis of a Multilayer Perceptron.
Mobility timing for agent communities, a cue for advanced connectionist systems
Training a network of mobile neurons
An opportunistic platform for android-based mobile devices
Relevance regression learning with support vector machines
Wireless domotic: an enabling platform for granular intelligence
Discovering regression data quality through clustering methods
Toward a space-time mobility model for social communities
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